The Interaction of Relief and Synoptic Situation on the Distribution of Storm Rainfall in the Vicinity of Dunedin

Hutchinson, P.

doi:10.1111/j.1745-7939.1973.tb00691.x

Cited by 7 publications

(5 citation statements)

References 2 publications

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“…In GIS, aspect identifies the down slope direction of the maximum rate of change in value from each cell to its neighbors, in other words the slope direction. Practically, aspect is correlated with the prevailing wind over a geographical area, the previous studies in other parts of the world emphasized on the effect of the prevailing wind on the amount of precipitation (Hutchinson, 1973) (Houghton, 1979). The correlation between aspect and the annual amount of precipitation is masked by the weak correlation between slope and aspect (r  0.07).…”

Section: Resultsmentioning

confidence: 99%

The Relationship between Precipitation and Topography in Northern Jordan Using Principal Component-Based GIS Analysis = العلاقة بين الهطول المطري و التضاريس في شمال الأردن باستخدام مكونات نظم المعلومات الجغرافية

Doomi¹

2016

DirasatHum

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The factors that influence precipitation in northern Jordan were extracted from geographic variables using Principal Component-based GIS analysis. The analysis was carried out on a cell basis, where interpolation of the amount of precipitation was performed using a thin spline method and the elevation surface using an Inversed Distance Weighted (IDW) method. The examined variables were elevation above sea level, slope, aspect, and geographical location (east coordinates and north coordinates) all over the study area. The results showed a positive correlation between the amount of precipitation and slope and the amount of precipitation and elevation, while a negative correlation was existed with geographical location. The latter variable seems to have no effect on the amount of precipitation in the region or either its distribution.

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Section: Resultsmentioning

confidence: 99%

The Relationship between Precipitation and Topography in Northern Jordan Using Principal Component-Based GIS Analysis = العلاقة بين الهطول المطري و التضاريس في شمال الأردن باستخدام مكونات نظم المعلومات الجغرافية

Doomi¹

2016

DirasatHum

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“…of equation (1), but, except in special cases it seems unlikely that it would be worth the effort. Hutchinson (1972) has also shown that, on a storm to storm basis, the coefficient rx varies according to the synoptic situation producing the rain, and according to the intensity of the rain. Equation (1) can be rewritten as…”

Section: The Rainfall-altitude Functionmentioning

confidence: 97%

“…In a previous paper (Hutchinson, 1972), from a study of 87 storms, it was shown that t1 altitude-rainfall relationship although complex, could be associated with various synop1 situations. In that paper, synoptic situations were grouped in six classes, of which four showc consistent trends, and for which values of (3 and y could be determined.…”

Section: An Examplementioning

confidence: 98%

Calculation of Areal Rainfall Using Finite Element Techniques With Altitudinal Corrections

Hutchinson¹,

Walley

1972

Hydrological Sciences Bulletin

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A procedure for calculating areal rainfall, based on recent innovations in finite element analysis, is presented. The procedure involves the use of interpolation functions, allowing an accurate representation of the shape and relief of the catchment, with numerical integration performed by Gaussian quadrature. Each raingauge is allotted two weights, one associated with the rainfall reduced to a datum, and the other with the rainfall-altitude relationship. The latter weight effectively removes any systematic errors due to altitudinal bias of the network.The rainfall-altitude relationship, derived for individual storms and for synoptic situations for a small area, is used to show that errors due to the bias of the network can be considerable. RESUMEUn procede pour Ie calcuI de precipitation-surface, base sur des innovations recentes dans Ie domaine de l'analyse des elements finis est presentee Ce procede comparte l'emploi des fonctions d'interpolation, ce qui permet une representation exacte de la forme et du relief du bassin de captage, avec l'integration numerique qui s'effectue par la quadrature de Gauss. Chaque pluviometre est affecte de deux poids, l'un qui correspond a la precipitation ramenee a une donnee, l'autre qui correspond au rapport entre la precipitation et l'altitude. Ce dernier poids supprime toutes Ie erreurs systematiques caussees par la deviation de I'altitude du reseau.Le rapport entre la precipitation et l'altitude, derive pour Ie cas des averses individuelles et pour les situations synoptiques, pour une petite surface, est utilise pour demontrer que les erreurs causees par la deviation du reseau peuvent ctre considerables.

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“…Terrain aspect, and its relationship to moisture sources, also play a role in orographic effects, and thus should be considered in precipitation estimates (Hutchinson 1973;Sturman and Wanner 2001;Sotillo et al 2003). These effects increase the spatial variability of precipitation on complex terrains, which is not captured by low-spatial-resolution precipitation products.…”

Section: Introductionmentioning

confidence: 99%

Geostatistical Mapping of Mountain Precipitation Incorporating Autosearched Effects of Terrain and Climatic Characteristics

Guan

Wilson

Makhnin

2005

Journal of Hydrometeorology

103

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Hydrologic and ecologic studies in mountainous terrain are sensitive to the temporal and spatial distribution of precipitation. In this study a geostatistical model, Auto-Searched Orographic and Atmospheric Effects Detrended Kriging (ASOADeK), is introduced to map mountain precipitation using only precipitation gauge data. The ASOADeK model considers both precipitation spatial covariance and orographic and atmospheric effects in estimating precipitation distribution. The model employs gauge data and a multivariate linear regression approach to autosearch regional and local climatic settings (i.e., infer the spatial gradient in atmospheric moisture distribution and the effective moisture flux direction), and local orographic effects (the effective terrain elevation and aspect). The observed gauge precipitation data are then spatially detrended by the autosearched regression surface. The spatially detrended gauge data are further interpolated by ordinary kriging to generate a residual precipitation surface. The precipitation map is then constructed by adding the regression surface to the kriged residual surface. The ASOADeK model was applied to map monthly precipitation for a mountainous area in semiarid northern New Mexico. The effective moisture flux directions and spatial moisture trends identified by the optimal multiple linear regressions, using only gauge data, agree with the regional climate setting. When compared to a common precipitation mapping product [Precipitation-elevation Regression on Independent Slopes Model (PRISM)], the ASOADeK summer precipitation maps of the study area agree well with the PRISM estimates, and with higher spatial resolution. The ASOADeK winter maps improve upon PRISM estimates. ASOADeK gives better estimates than precipitation kriging and precipitation-elevation cokriging because it considers orographic and atmospheric effects more completely.

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The Interaction of Relief and Synoptic Situation on the Distribution of Storm Rainfall in the Vicinity of Dunedin

Cited by 7 publications

References 2 publications

The Relationship between Precipitation and Topography in Northern Jordan Using Principal Component-Based GIS Analysis = العلاقة بين الهطول المطري و التضاريس في شمال الأردن باستخدام مكونات نظم المعلومات الجغرافية

The Relationship between Precipitation and Topography in Northern Jordan Using Principal Component-Based GIS Analysis = العلاقة بين الهطول المطري و التضاريس في شمال الأردن باستخدام مكونات نظم المعلومات الجغرافية

Calculation of Areal Rainfall Using Finite Element Techniques With Altitudinal Corrections

Geostatistical Mapping of Mountain Precipitation Incorporating Autosearched Effects of Terrain and Climatic Characteristics

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